ENERGY INTELLIGENCE
Energy Information Systems (EIS),
which monitor and organize building energy consumption
and related trend data over the Internet, have been
evolving over the past decade. This technology helps
perform key energy management functions such as
organizing energy use data, identifying energy consumption
anomalies, managing energy costs, and automating
demand response strategies. During recent years
numerous developers and vendors of EIS have been
deploying these products in a highly competitive
market. EIS offer various software applications
and services for a variety of purposes. Costs for
such system vary greatly depending on the system’s
capabilities and how they are marketed. Some products
are marketed directly to end users while others
are made available as part of electric utility programs.
EIS can be a useful tool in building commissioning
and retro-commissioning.
Energy Intelligence (EI) refer to software,
data acquisition hardware, and communication protocols
administered by a single company, a partnership,
or a collective to provide energy information to
commercial building energy managers and electric
utilities. An EIS may include numerous classes of
information such as energy use, building characteristics,
HVAC or other building system data, weather data,
energy price signals, or energy demand-response
event information. This paper summarizes key features
available in today’s EIS, along with a categorization
framework to understand the relationship between
EIS, EMCS, and similar technology.
In a typical EIS architecture, the EIS server hardware
and software located at the EIS service provider’s
physical site record interval data via the Internet,
as shown in Figure 1. The EIS receives these data
from signals dispatched by meters installed in a
customer’s building, or directly communicates
with meters. The EIS users can access the server
with a password, and access the archived energy
data either in real-time or in hourly, or daily
updates from anywhere via a web browser. The typical
functions of EIS are described in the following
three features.
-> Visualizing tabular and graphical metered
usage data
-> Comparing load profiles within and across
multiple facilities
-> Varying degrees of billing and rate information
Energy managers can use various
IT tools for performing analysis of the energy billing
history, long-term trend analysis of usage, regression
analysis by kWh and kW for weather normalization
and for uncovering other dependencies for the whole
facility. These tools can include simple spreadsheet
based tools or sophisticated energy information
systems. Such analysis allows identification of
patterns of the facility energy behavior and forecasting
of future monthly costs. This tracking function
can aid in understanding operating characteristics
or anomalies requiring further investigation. Various
energy metering information service providers help
energy managers track and analyze their electrical,
gas and water consumption from a single circuit
to an entire facility - using the convenience of
the Internet. The information is presented both
in tabular as well as graphical format using load
profiles and energy usage data to help users identify
energy cost savings opportunities. Multi-site and
aggregated load profiles enhance the energy manager’s
ability to proactively negotiate the best possible
rates in the deregulated energy markets
EMIR System
follows the above method and approach
For more information contacts at: info@intelen.gr
